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将基因与真菌的特征联系起来。

Linking Genes to Traits in Fungi.

机构信息

Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA.

Department of Biology, New Mexico State University, Las Cruces, NM, 88001, USA.

出版信息

Microb Ecol. 2021 Jul;82(1):145-155. doi: 10.1007/s00248-021-01687-x. Epub 2021 Jan 22.

Abstract

Fungi are mediators of the nitrogen and carbon cycles in terrestrial ecosystems. Examining how nitrogen uptake and organic matter decomposition potential differs in fungi can provide insight into the underlying mechanisms driving fungal ecological processes and ecosystem functioning. In this study, we assessed the frequency of genes encoding for specific enzymes that facilitate nitrogen uptake and organic matter decomposition in 879 fungal genomes with fungal taxa grouped into trait-based categories. Our linked gene-trait data approach revealed that gene frequencies vary across and within trait-based groups and that trait-based categories differ in trait space. We present two examples of how this linked gene-trait approach can be used to address ecological questions. First, we show that this type of approach can help us better understand, and potentially predict, how fungi will respond to environmental stress. Specifically, we found that trait-based categories with high nitrogen uptake gene frequency increased in relative abundance when exposed to high soil nitrogen enrichment. Second, by comparing frequencies of nitrogen uptake and organic matter decomposition genes, we found that most ectomycorrhizal fungi in our dataset have similar gene frequencies to brown rot fungi. This demonstrates that gene-trait data approaches can shed light on potential evolutionary trajectories of life history traits in fungi. We present a framework for exploring nitrogen uptake and organic matter decomposition gene frequencies in fungal trait-based groups and provide two concise examples on how to use our framework to address ecological questions from a mechanistic perspective.

摘要

真菌是陆地生态系统氮碳循环的中介。研究氮吸收和有机质分解潜力在真菌中的差异,可以深入了解驱动真菌生态过程和生态系统功能的潜在机制。在这项研究中,我们评估了 879 个真菌基因组中编码特定酶的基因频率,这些酶有助于氮吸收和有机质分解,真菌类群分为基于特征的类别。我们的关联基因-特征数据方法表明,基因频率在基于特征的群体之间和内部都存在差异,并且特征类别在特征空间中存在差异。我们展示了两个例子,说明这种关联基因-特征方法如何用于解决生态问题。首先,我们表明,这种方法可以帮助我们更好地理解,并且可能预测真菌将如何应对环境压力。具体来说,我们发现,当暴露于高土壤氮富集时,具有高氮吸收基因频率的基于特征的类别相对丰度增加。其次,通过比较氮吸收和有机质分解基因的频率,我们发现我们数据集的大多数外生菌根真菌与褐腐真菌具有相似的基因频率。这表明基因-特征数据方法可以揭示真菌生活史特征潜在的进化轨迹。我们提出了一种探索真菌基于特征的群体中氮吸收和有机质分解基因频率的框架,并提供了两个简洁的例子,说明如何从机制角度使用我们的框架来解决生态问题。

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